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Characterizing Conflicts Between Rule Application and Rule Evolution in Graph Transformation Systemsd models such as graph transformation systems, model evolution may be represented by means of a collection of structural modifications in individual transformation rules. In this work we introduce the notion of inter-level conflict between rule modification and rule application, characterizing the s

得意人

Graph Pattern Matching as an Embedded Clojure DSLmbedded DSLs. This paper introduces FunnyQT’s embedded graph pattern matching DSL which allows users to define patterns using a convenient textual notation that can be applied to graphs. The result of applying a pattern to a graph is the lazy sequence of all matches of the pattern in the graph. Funn

有花

Using Graph Transformations for Formalizing Prescriptions and Monitoring Adherence’s condition and the prescribed substance(s). In today’s IT supported clinical environments, prescriptions are often authored electronically. Patient adherence to the prescribed medication regimen is a key determinant for the outcome of the intervention. Recently, an increasing number of information

旋轉(zhuǎn)一周

Towards Compliance Verification Between Global and Local Process Models compliance with the globally specified rules of that collaboration. We assume that the collaborative workflow is specified as a BPMN Collaboration Diagram and the local workflows as BPMN Process Diagrams. We then employ existing LTL semantics of the former and token semantics of the latter to verif

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Inductive Invariant Checking with Partial Negative Application Conditions this expressive power comes at the cost of rather limited automated analysis capabilities. The general case of unbounded many initial graphs or infinite state spaces is only supported by approaches with rather limited scalability or expressiveness. In this paper we improve an existing approach for

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Tool Support for Multi-amalgamated Triple Graph Grammarslar to a . loop for graph transformation rules by consolidating multiple applications of rules depending on how many rule applications are available at transformation time. TGGs are a well-known technique used to specify bidirectional model transformation, where consistency is described via triple r